THE ESTIMATION AUTOREGRESSIVE MODELS ORDER BY MEANS OF ARTIFICIAL NEURAL NETWORKS

Kozlov Valeriy Valer'evich, candidate of technical sciences, associate professor, sub-department of information and measuring equipment, Penza State University, iit@pnzgu.ru

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The article are is devoted to issues of the estimation methods of the order of autoregressive models. The article points out to possibility of neural networks application for this problem to be solved.

AR-model, algorithm, aproximation, harmonic component, factors to autoregression criterion, order of model.